ppc64le/linux/: geomet-1.1.0 metadata and description

Simple index

Pure Python conversion library for common geospatial data formats

classifiers
  • Development Status :: 5 - Production/Stable
  • License :: OSI Approved :: Apache Software License
  • Intended Audience :: Developers
  • Intended Audience :: Education
  • Intended Audience :: Science/Research
  • Operating System :: OS Independent
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Topic :: Scientific/Engineering :: GIS
  • Environment :: MetaData :: IBM Python Ecosystem
description_content_type text/markdown
dynamic license-file
keywords esri,ewkb,ewkt,geojson,geopackage,geospatial,gis,spatial,wkb,wkt
license Apache-2.0
license_file AUTHORS.txt
maintainer_email Lars Butler <[email protected]>
project_urls
  • Repository, https://github.com/geomet/geomet
requires_dist
  • click
requires_python >=3.7
File Tox results History
geomet-1.1.0-py3-none-any.whl
Size
32 KB
Type
Python Wheel
Python
3

GeoMet geomet

Pure-Python conversion library for common geospatial data formats. Supported formats include:

Install

Install the latest version from PyPI:

$ pip install geomet

Functionality

Converion functions are exposed through idiomatic load/loads/dump/dumps interfaces.

GeoMet is intended to cover all common use cases for dealing with 2D, 3D, and 4D geometries (including 'Z', 'M', and 'ZM').

Geometry WKT/EWKT WKB/EWKB GeoPackage Binary EsriJSON
Point
LineString
Polygon
MultiPoint
MultiLineString
MultiPolygon
GeometryCollection

Example usage

Coverting a 'Point' GeoJSON object to WKT:

>>> from geomet import wkt
>>> point = {'type': 'Point', 'coordinates': [116.4, 45.2, 11.1]}
>>> wkt.dumps(point, decimals=4)
'POINT (116.4000 45.2000 11.1000)'

Converting a 'Point' GeoJSON object to WKB:

>>> from geomet import wkb
>>> wkb.dumps(point)
b'\x00\x00\x00\x10\x01@]\x19\x99\x99\x99\x99\x9a@F\x99\x99\x99\x99\x99\x9a@&333333'
>>> wkb.dumps(point, big_endian=False)
b'\x01\x01\x10\x00\x00\x9a\x99\x99\x99\x99\x19]@\x9a\x99\x99\x99\x99\x99F@333333&@'

Converting a 'Point' GeoJSON object to GeoPackage Binary:

>>> from geomet import geopackage
>>> geopackage.dumps(point)
b'GP\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\xe9@]\x19\x99\x99\x99\x99\x9a@F\x99\x99\x99\x99\x99\x9a@&333333'
>>> geopackage.dumps(point, big_endian=False)
b'GP\x00\x01\x00\x00\x00\x00\x01\xe9\x03\x00\x00\x9a\x99\x99\x99\x99\x19]@\x9a\x99\x99\x99\x99\x99F@333333&@'

Converting a 'LineString' GeoJSON object to WKT:

>>> linestring = {'type':'LineString',
...               'coordinates': [[0.0, 0.0, 10.0], [2.0, 1.0, 20.0],
...                               [4.0, 2.0, 30.0], [5.0, 4.0, 40.0]]}
>>> wkt.dumps(linestring, decimals=0)
'LINESTRING (0 0 10, 2 1 20, 4 2 30, 5 4 40)'

Converting a 'LineString' GeoJSON object to WKB:

>>> wkb.dumps(linestring)
b'\x00\x00\x00\x10\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00@$\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x00?\xf0\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00@\x10\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x00@>\x00\x00\x00\x00\x00\x00@\x14\x00\x00\x00\x00\x00\x00@\x10\x00\x00\x00\x00\x00\x00@D\x00\x00\x00\x00\x00\x00'
>>> wkb.dumps(linestring, big_endian=False)
b'\x01\x02\x10\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00$@\x00\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\xf0?\x00\x00\x00\x00\x00\x004@\x00\x00\x00\x00\x00\x00\x10@\x00\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00>@\x00\x00\x00\x00\x00\x00\x14@\x00\x00\x00\x00\x00\x00\x10@\x00\x00\x00\x00\x00\x00D@'

Converting a 'LineString' GeoJSON object to GeoPackage Binary:

>>> geopackage.dumps(linestring)
b'GP\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00@$\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x00?\xf0\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00@\x10\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\x00@>\x00\x00\x00\x00\x00\x00@\x14\x00\x00\x00\x00\x00\x00@\x10\x00\x00\x00\x00\x00\x00@D\x00\x00\x00\x00\x00\x00'
>>> geopackage.dumps(linestring, big_endian=False)
b'GP\x00\x01\x00\x00\x00\x00\x01\x02\x10\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00$@\x00\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00\xf0?\x00\x00\x00\x00\x00\x004@\x00\x00\x00\x00\x00\x00\x10@\x00\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\x00\x00>@\x00\x00\x00\x00\x00\x00\x14@\x00\x00\x00\x00\x00\x00\x10@\x00\x00\x00\x00\x00\x00D@'

Converting 'Point' WKT to GeoJSON:

>>> wkt.loads('POINT(10 20)')
{'type': 'Point', 'coordinates': [10.0, 20.0]}

Coverting 'GeometryCollection' WKT to GeoJSON:

>>> wkt.loads('GEOMETRYCOLLECTION(POINT(10 20),POLYGON(((0 0), (10 30), (30 10), (0 0)))')
{'type': 'GeometryCollection', 'geometries': [{'type': 'Point', 'coordinates': [10.0, 20.0]}, {'type': 'Polygon', 'coordinates': [[[0.0, 0.0]], [[10.0, 30.0]], [[30.0, 10.0]], [[0.0, 0.0]]]}]}

EWKT/EWKB are also supported for all geometry types. This uses a custom extension to the GeoJSON standard in order to preserve SRID information through conversions. For example:

>>> wkt.loads('SRID=4326;POINT(10 20)')
{'type': 'Point', 'coordinates': [10.0, 20.0], 'meta': {'srid': '4326'}}
>>> wkt.dumps({'type': 'Point', 'coordinates': [10.0, 20.0], 'meta': {'srid': '4326'}, 'crs': {'properties': {'name': 'EPSG4326'}, 'type': 'name'}})
'SRID=4326;POINT (10.0000000000000000 20.0000000000000000)'
>>> wkb.loads('\x00 \x00\x00\x01\x00\x00\x10\xe6@$\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00')
{'meta': {'srid': '4326'}, 'type': 'Point', 'coordinates': [10.0, 20.0]}
>>> wkb.dumps({'type': 'Point', 'coordinates': [10.0, 20.0], 'meta': {'srid': '4326'}, 'crs': {'properties': {'name': 'EPSG4326'}, 'type': 'name'}})
'\x00 \x00\x00\x01\x00\x00\x10\xe6@$\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00'

GeoPackage binary supports encoding of SRID and envelope information. If your geopackage has an envelope specified, then it will be added into the resulting GeoJSON in a key called 'bbox':

>>> gpkg = b'GP\x00\x03\x00\x00\x00\x00\xf0\x9e\xa0\xa7\x05;#@hZ\xbd\x93\x83GC@\xf0\x9e\xa0\xa7\x05;#@hZ\xbd\x93\x83GC@\x01\x01\x00\x00\x00\xf0\x9e\xa0\xa7\x05;#@hZ\xbd\x93\x83GC@'
>>> geopackage.loads(gpkg)
>>> {'type': 'Point', 'coordinates': [9.615277517659223, 38.55870291467437], 'bbox': (9.615277517659223, 38.55870291467437, 9.615277517659223, 38.55870291467437)}

In the same way, if a 'bbox' key is present on a dumps-ed geometry, it will be added to the header of the GeoPackage geometry:

>>> polygon = {'type': 'Polygon', 'coordinates': [[[20.0, 20.0], [34.0, 124.0], [70.0, 140.0], [130.0, 130.0], [70.0, 100.0], [110.0, 70.0], [170.0, 20.0], [90.0, 10.0], [20.0, 20.0]]], 'bbox': (20.0, 170.0, 10.0, 140.0)}
>>> geopackage.dumps(polygon)
b'GP\x00\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x004@\x00\x00\x00\x00\x00@e@\x00\x00\x00\x00\x00\x00$@\x00\x00\x00\x00\x00\x80a@\x00\x00\x00\x00\x03\x00\x00\x00\x01\x00\x00\x00\t@4\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00@A\x00\x00\x00\x00\x00\x00@_\x00\x00\x00\x00\x00\x00@Q\x80\x00\x00\x00\x00\x00@a\x80\x00\x00\x00\x00\x00@`@\x00\x00\x00\x00\x00@`@\x00\x00\x00\x00\x00@Q\x80\x00\x00\x00\x00\x00@Y\x00\x00\x00\x00\x00\x00@[\x80\x00\x00\x00\x00\x00@Q\x80\x00\x00\x00\x00\x00@e@\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00@V\x80\x00\x00\x00\x00\x00@$\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00@4\x00\x00\x00\x00\x00\x00'

If an integer SRID identifier is present in a 'meta' key (like 'meta': {'srid': 4326}), then the SRID will be included in the GeoPackage header.

History

This library was originally created as the result of a bug report related to another project: https://bugs.launchpad.net/openquake-old/+bug/1073909. The source of this issue was largely due to a dependency on GEOS, which is written in C/C++. Depending on GEOS requires any data conversion bug fixes to happen upstream, which takes time and effort. Ultimately, this was the inspiration to create a more lightweight, pure-Python conversion library as an alterntive tool for reliably converting data between various geospatial formats.

The name "GeoMet" was inspired by "met", the German word for mead. It is also a shortened version of the word "geometry".

Limitations

Outputing "empty" geometries to binary formats is not supported

Attempting to output an empty geometry to a binary format will result in an exception: ValueError: Empty geometries cannot be represented in WKB. Reason: The dimensionality of the WKB would be ambiguous. There are a few reasons for this this limitation:

As a result, GeoMet has chosen to not attempt to address these problems, and simply raise an exception instead.

Example:

>>> import geomet
>>> import geomet.wkt as wkt
>>> import geomet.wkb as wkb
>>> pt = wkt.loads('POINT EMPTY')
>>> pt
{'type': 'Point', 'coordinates': []}
>>> wkb.dumps(pt)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jdoe/geomet/geomet/wkb.py", line 216, in dumps
    return _dumps(obj, big_endian)
File "/home/jdoe/geomet/geomet/wkb.py", line 238, in _dumps
    raise ValueError(
ValueError: Empty geometries cannot be represented in WKB. Reason: The dimensionality of the WKB would be ambiguous.

See also

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